Triple
T20205958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Noxon |
E493349
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Plus One |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Plus One | Statement: [Christopher Noxon, notableWork, Plus One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plus One Context triple: [Christopher Noxon, notableWork, Plus One]
-
A.
Plus One
Plus One is a British romantic comedy film in which Daniel Mays stars as a man navigating awkward relationships and social mishaps.
-
B.
Plus One
chosen
Plus One is a 2019 romantic comedy film about two longtime friends who agree to be each other’s dates for a summer full of weddings, starring Maya Erskine and Jack Quaid.
-
C.
Varsity
Varsity is the commonly used short name for Operation Varsity, the large Allied airborne assault conducted in March 1945 during World War II to support the crossing of the Rhine River into Germany.
-
D.
Varsity
Varsity is a 1928 American silent comedy film starring Charles "Buddy" Rogers, set in a collegiate environment and centered on campus life and romance.
-
E.
Grado
Grado is a coastal town and popular seaside resort in northeastern Italy, known for its historic center, beaches, and lagoon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d922ebc8190ae012da8ceba74dd |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.